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ACT-R based human digital twin to enhance operators' performance in process industries.

Bharatwaajan Balaji¹, Mohammed Aatif Shahab², Babji Srinivasan^2,3

¹Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai, India.

Frontiers in Human Neuroscience

|February 27, 2023

Summary

A human digital twin (HDT) was developed using cognitive architecture to simulate operator behavior during abnormal industrial situations. The HDT accurately mimics human eye gaze, validating its cognitive capabilities for improved operator training and decision-making.

Keywords:

ACT-R eye tracking human digital twin operator performance safety training

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Area of Science:

Human-computer interaction
Cognitive science
Process control

Background:

Operator performance assessment in process industries is challenging due to subjective methods and lack of cognitive behavior analysis.
Existing methods fail to predict operator responses in novel or abnormal operational scenarios.
Timely decision-making based on complex, time-varying data is crucial for safe and efficient industrial operations.

Purpose of the Study:

To develop a human digital twin (HDT) capable of simulating control room operator behavior, including during abnormal situations.
To utilize the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture for creating a realistic operator simulation.
To assess the HDT's ability to mimic human cognitive processes and performance in process control tasks.

Main Methods:

Developed a human digital twin (HDT) based on the ACT-R cognitive architecture.
Conducted 426 simulation trials to test the HDT's performance in disturbance rejection tasks.
Validated the HDT by comparing its eye gaze behavior with that of 10 human subjects performing similar tasks.

Main Results:

The HDT demonstrated comparable cognitive capabilities to human operators.
HDT's simulated eye gaze behavior closely matched that of human subjects, even in abnormal situations.
The developed HDT successfully simulated operator monitoring and intervention during process disturbances.

Conclusions:

The human digital twin (HDT) provides a viable tool for simulating operator behavior in process industries.
HDT can generate extensive data on human responses during abnormalities, aiding in identifying and correcting operator errors.
The HDT has the potential to enhance operator training and real-time decision-making support.